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years. For employment as a PhD Candidate, it is a prerequisite that you gain admission to the PhD programme in Engineering within three months of your employment contract start date, and that you
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, Informatics, Law and Social Sciences, Logistics, Sport Management, and Economics. We have about 270 employees and 3 700 students at our campuses in Molde and Kristiansund. You can read more about us here . We
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background, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the PhD Program in Social Sciences - Specialization
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selection criteria You must have an academically relevant background within Civil / Environmental / Hydraulic Engineering, Computer Science, Applied Mathematics, or related areas. You must have a Master's
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to a five-year Norwegian degree program, where 120 credits are obtained at master's level Preferred qualifications: Experience with computer-based analytical tools Experience with experimental evolution
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. At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position
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Engineering, or Mechatronics Your education must correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level You must have a strong academic background from your
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for the implementation of the project. The applicant should not complete an application for admission to the PhD programme at this stage. Please note: the application will only be assessed on the basis of the information
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using experimental, computational and data-driven tools for sustainable energy, environment and infrastructure applications. About the project Age-hardenable aluminium alloys are extensively utilized in
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of Biostatistics, Institute of Basic Medical Sciences (IMB), University of Oslo (UiO), Norway. The candidate shall take part in the research group on “Statistical models for high-dimensional and functional data